Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74AS175BNS

SN74AS175BNS

Texas Instruments

IC D-TYPE POS TRG SNGL 16SO

8850

SN74LVC06ADB

SN74LVC06ADB

Texas Instruments

INVERTER, LVC/LCX/Z SERIES, 6-FU

0

AFE10004RGET

AFE10004RGET

Texas Instruments

4-CHANNEL POWER-AMPLIFIER MONITO

0

SN74AVC6T622PWR

SN74AVC6T622PWR

Texas Instruments

SN74AVC6T622 AUDIO CODEC AC'97 V

36562

SN74LS33NS

SN74LS33NS

Texas Instruments

IC GATE NOR 4CH 2-INP 14-SO

36578

SN74LS148NS

SN74LS148NS

Texas Instruments

IC PRIORITY ENCODER 8-3L 16SO

1100

DLP650NEFYE

DLP650NEFYE

Texas Instruments

IC DIG MICROMIRROR DEV 350CPGA

0

UC1832L883B

UC1832L883B

Texas Instruments

PRECISION LOW DROPOUT LINEAR CON

11

SN74LVC574ADB

SN74LVC574ADB

Texas Instruments

IC D-TYPE POS TRG SNGL 20SSOP

15190

SN74ALS1645ANS

SN74ALS1645ANS

Texas Instruments

IC BUS TRANSCEIVER DUAL 20SO

840

SN74LVC574ANS

SN74LVC574ANS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

41200

SN74ALS641A-1DB

SN74ALS641A-1DB

Texas Instruments

BUS XCVR SINGLE 8-CH OPEN COLLEC

2577

SN74AHC540NS

SN74AHC540NS

Texas Instruments

INVERTER 8-INPUT 20SO

1800

SN74LS367ANS

SN74LS367ANS

Texas Instruments

IC BUS DVR TRI-ST HEX 16SO

10806

SN74ACT1073NS

SN74ACT1073NS

Texas Instruments

16BIT BUS-TERM ARRAY 20SO

4190

SN74LS244DB

SN74LS244DB

Texas Instruments

BUFF/DVR TRI-ST DUAL 20SSOP

8750

SN74ALS642A-IN

SN74ALS642A-IN

Texas Instruments

BUS TRANSCEIVER, ALS SERIES, 1-F

3440

PCI4510AZHK

PCI4510AZHK

Texas Instruments

PCMCIA BUS CONTROLLER

20855

SN74AC240NS

SN74AC240NS

Texas Instruments

INVERTER DUAL 4-INPUT 20SO

8320

SN74ALS540-1NS

SN74ALS540-1NS

Texas Instruments

INVERTER DUAL 8-INPUT 20SO

4365

Specialized ICs

1. Overview

Specialized ICs (Application-Specific Integrated Circuits, ASICs) are customized microchips designed for specific functions or applications, unlike general-purpose ICs. They optimize performance, power efficiency, and size for targeted tasks, playing a critical role in modern electronics such as telecommunications, automotive systems, and AI accelerators.

2. Main Types and Functional Classification

Type Functional Characteristics Application Examples
ASIC (Application-Specific IC) Custom-designed for a specific application with fixed functionality Smartphones, IoT devices, medical imaging equipment
FPGA (Field-Programmable Gate Array) Reconfigurable logic blocks and interconnects for dynamic functionality 5G base stations, industrial automation, prototyping systems
SoC (System-on-Chip) Integrates CPU, GPU, memory, and peripherals on a single chip Wearable devices, autonomous vehicles, edge computing
ASSP (Application-Specific Standard Product) Standardized ICs for specific applications (not fully customized) Networking switches, display drivers, power management
PLD (Programmable Logic Device) Basic programmable ICs for simple logic operations Consumer electronics, automotive sensors

3. Structure and Composition

A typical Specialized IC includes:

  • Semiconductor Substrate: Silicon wafer with CMOS/BiCMOS processes
  • Transistor Array: Millions to billions of MOSFETs or FinFETs
  • Metal Layers: Multi-layer interconnects for signal routing
  • IP Blocks: Pre-designed modules (e.g., ARM cores, DSP units)
  • Package: BGA, QFN, or flip-chip for thermal/electrical performance

4. Key Technical Specifications

Parameter Description Importance
Power Consumption Measured in watts (W) or milliwatts (mW) Determines battery life and thermal management
Operating Frequency Maximum speed (GHz) for signal processing Impacts system performance and latency
Process Node Manufacturing technology (e.g., 7nm, 5nm) Defines transistor density and energy efficiency
Die Size Physical chip dimensions (mm ) Affects cost and integration level
Thermal Resistance Ability to dissipate heat ( C/W) Crucial for reliability in high-performance applications

5. Application Fields

Main industries and equipment:

  • Telecommunications: 5G modems, optical transceivers
  • Automotive: ADAS sensors, battery management systems
  • Healthcare: MRI scanners, portable diagnostic devices
  • AI/ML: Neural network accelerators, vision processing units
  • Industrial: Smart meters, robotics controllers

6. Leading Manufacturers and Products

Manufacturer Representative Product Application
Intel Stratix 10 FPGA High-performance computing (HPC)
Xilinx Zynq UltraScale+ MPSoC Autonomous driving and AI
Texas Instruments AFE5805 (Analog Front-End) Medical imaging
Qualcomm SM8350 SoC 5G smartphones
STMicroelectronics STM32MP1 (MPU) Industrial IoT

7. Selection Guidelines

Key considerations:

  • Performance Requirements: Match clock speed and throughput to application needs
  • Power Efficiency: Prioritize low-power designs for battery-operated devices
  • Scalability: Choose programmable solutions (e.g., FPGA) for future upgrades
  • Cost: Balance NRE costs vs. volume production economics
  • Compatibility: Ensure package footprint and voltage levels align with system design

8. Industry Trends

Emerging trends include:

  • AI-Optimized ICs: Development of dedicated AI accelerators (e.g., TPUs)
  • Advanced Packaging: Adoption of 2.5D/3D stacking for higher integration
  • Energy Efficiency: Focus on sub-1V operation and RISC-V-based architectures
  • Security Integration: Hardware-based encryption and tamper-proof designs
  • Heterogeneous Computing: Combining CPU/GPU/NPU cores in single SoCs
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